codigo_linea

matlab to show stock situation

含有C_Primer_Plus_(第五版)_中文版另外还有C_Primer_Plus的读书笔记(Containing C_Primer_Plus_ (Fifth Edition) _ Chinese version Another C_Primer_Plus reading notes)

S_DBWEbapplication 实例 作为例子参考 讲解演示器作用(S_DBWEbapplication instance as an example to explain the reference to the role of presenter)

NTKL法可以同时检测光谱异常点、参考数据异常点及其他们共同的异常点，该方法的基本思路是基于蒙特卡洛采样，随机将样本集划分为校正集与预测集，用校正集建模，并对没参与建模的样本进行预测误差计算，进行几千次这样随机采样，每个样本点都可得到其预测误差分布。如果奇异样本在校正集中，整个模型的质量将受到影响；相反，如果奇异样本在预测集中，仅此样本的预测结果受到影响。(NTKL method can simultaneously detect abnormal spectrum and abnormal reference data points and their common abnormal point, the basic idea of this method is based on the monte carlo sampling, sample set random be divided into calibration set and prediction set, using correction modeling, modeling and participated in the samples of the prediction error calculation, a thousands of times that of random sampling, each sample point can be obtained the prediction error distribution.If singular samples in correction, the model of quality will be affected.Singular samples in predicting concentration, on the contrary, if only for the sample prediction results are affected.)

基于小波变换的图像阈值去噪的matlab代码，可以实现硬阈值，软阈值以及一种自适应阈值算法并且完成他们的对比；(One kind matlab code image threshold denoising based on wavelet transform can be achieved hard threshold and soft threshold and an adaptive threshold algorithm and complete their contrast )

Theory and Applications of OFDM and CDMA Wideband Wireless Communications Henrik Schulze and Christian L¨uders Both of Fachhochschule S¨udwestfalen Meschede, Germany

此程序为高斯白噪声AWGN信道的matlab描述(This program is Gaussian white noise AWGN channel matlab description)

source code for an ieee paper!!

说明：  用matlab计算泰勒展开式taylorseries、函数求导differentiate、求极限limitx、求解非线性规划nolinearsolve&ff5(Using MATLAB to calculate Taylor series, differential function differentiation, limit x, nonlinear programming nolinearsolve & FF5)

说明：  随机信号谱分析技术实现 随机信号谱估计及质量评价。 离散随机信号通过线性时不变系统时，系统所产生的响应。 功率谱估计的实现方法：自相关函数法、周期图法、Bartlett法、Welch法、MTM法、MUSIC法 (Random signal spectral analysis of random signal spectral estimation and quality evaluation. Discrete random signals through linear systems, the system generated response. Realization of the power spectrum estimation: autocorrelation function, periodogram, Bartlett law, Welch method, MTM method, MUSIC method)